Vehicle Technician

Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Technology Specialist - AI

Principal Data Scientist

Lead Data Scientist

Data Science Engineer

Data Scientist (Operational Domain Intelligence)

Vehicle Tech #INDCB

Location: Leeds

We are seeking a highly skilled and innovative Vehicle Technology Engineer to join our team. In this role, you will be responsible for the development, integration, and testing of advanced technologies used in vehicles, including autonomous driving systems, electric powertrains, connectivity solutions, and in-vehicle infotainment systems. You will work with a cross-functional team to improve vehicle performance, safety, and user experience while staying ahead of industry trends and regulations.

Key Responsibilities:

  • Research & Development: Conduct research on emerging vehicle technologies (autonomous systems, electric vehicles, connectivity, etc.), staying updated on industry advancements.

  • Design & Prototyping: Design and prototype new vehicle technologies, including sensors, communication systems, battery management systems, and control algorithms.

  • System Integration: Integrate hardware and software components into vehicle systems, ensuring optimal performance, safety, and reliability.

  • Testing & Validation: Plan and execute testing of new technologies, including simulation, road tests, and software/hardware validation.

  • Collaboration: Work closely with cross-disciplinary teams, including electrical engineers, software developers, mechanical engineers, and project managers, to ensure project timelines and technical goals are met.

  • Data Analysis: Analyze vehicle performance data to identify issues, propose solutions, and continuously improve vehicle systems.

  • Compliance & Standards: Ensure compliance with local and international safety, environmental, and regulatory standards.

  • Troubleshooting: Identify and resolve issues related to vehicle systems, ensuring minimal downtime and optimal system operation.

    Required Skills and Qualifications:

  • Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Automotive Engineering, or a related field.

  • Hands-on experience in vehicle system design, integration, and testing.

  • Proficiency in programming languages such as Python, C++, MATLAB, or other relevant software tools.

  • Familiarity with vehicle communication protocols (CAN, LIN, Ethernet, etc.) and embedded systems.

  • Experience with simulation and modeling tools (e.g., Simulink, CarSim, etc.).

  • Knowledge of electric vehicle powertrains, autonomous driving systems, infotainment, and connected car technologies.

  • Strong problem-solving, analytical, and troubleshooting skills.

  • Excellent communication and teamwork abilities.

    Preferred Skills:

  • Experience with AI/machine learning techniques applied to autonomous driving or vehicle safety.

  • Knowledge of automotive cybersecurity principles.

  • Familiarity with regulatory compliance for autonomous vehicles or electric vehicle infrastructure.

  • Experience in cloud computing or data analytics for vehicle diagnostics.

    Work Environment:

  • This position may require occasional travel for testing, site visits, or industry events

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.